Scout | On-Person Screening Stream of Commerce Analysis Tool

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On-Person Screening Stream of Commerce Analysis Tool

This grant opportunity is seeking innovative solutions to improve walk-through threat detection systems by using stream of commerce data. The goal is to effectively train machine learning algorithms with diverse real-world data to distinguish between harmless objects and potential threats. Current methods, which rely on human observation at security checkpoints, are inadequate due to being lab…

Source

Agency: Department of Homeland Security

Keywords

threat detection

machine learning

body scanner

stream of commerce data

security checkpoints

anthropometric characteristics

clothing diversity

real-time video analysis

Screening at Speed

algorithm validation

Supporting Links

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